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77cb9db6da
* [cmake] add faiss.cmake -> pp-shituv2 * [PP-ShiTuV2] Support PP-ShituV2-Det model * [PP-ShiTuV2] Support PP-ShiTuV2-Det model * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [Bug Fix] fix ppshitu_pybind error * [benchmark] Add ppshituv2-det c++ benchmark * [examples] Add PP-ShiTuV2 det & rec examples * [vision] Update vision classification result * [Bug Fix] fix trt shapes setting errors
50 lines
1.8 KiB
C++
50 lines
1.8 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace classification {
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/*! @brief Postprocessor object for PP-ShiTuV2 Recognizer model.
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*/
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class FASTDEPLOY_DECL PPShiTuV2RecognizerPostprocessor {
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public:
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PPShiTuV2RecognizerPostprocessor() = default;
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/** \brief Process the result of runtime and fill to ClassifyResult structure
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*
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* \param[in] tensors The inference result from runtime
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* \param[in] result The output result of feature vector (see ClassifyResult.feature member)
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* \return true if the postprocess successed, otherwise false
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*/
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bool Run(const std::vector<FDTensor>& tensors,
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std::vector<ClassifyResult>* results);
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/// Set the value of feature_norm_ for Postprocessor
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void SetFeatureNorm(bool feature_norm) { feature_norm_ = feature_norm; }
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/// Get the value of feature_norm_ from Postprocessor, default to true.
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bool GetFeatureNorm() { return feature_norm_; }
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private:
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void FeatureNorm(std::vector<float> &feature);
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bool feature_norm_ = true;
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};
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} // namespace classification
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} // namespace vision
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} // namespace fastdeploy
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